慢性静脉功能不全患者血栓形成风险的实验室评估模型初探OACSTPCD

Objective To explore the predictive value of combined thromboelastography(TEG),coagulation index and platelet parameters in evaluating the risk of thrombosis in patients with chronic venous insufficiency(CVI).Methods A total of 359 patients with CVI were enrolled in our hospital from November 2020 to March 2022,and divided into VTE group and non-VTE group according to the occurrence of venous thromboembolism(VTE).The baseline characteristics of the two groups and the value of combined TEG,coagulation index and platelet parameters in predicting the risk of VTE in patients with CVI were analyzed.The risk factors were screened by univariate logistic regression analysis,and the prediction model was constructed by multivariate logistic regression.The performance of the model was evaluated by area under the curve(AUC)and sensitivity specificity.Results Compared with the non-VTE group,the R value(3.27±0.71 vs 3.87±1.16,P<0.05),the prothrombin time(PT)(11.08±3.02 vs 12.86±3.48,P<0.001)and the platelet distribution width(PDW)(12.01±3.87 vs 13.98±3.20,P<0.001)of the VTE group decreased,while fibrinogen(Fib)(3.46 vs 3.10,P<0.05)and D-dimer(DD)(3.00 vs 1.12,P<0.001)increased.It was found that the area under the ROC curve of the thrombosis pre-diction model based on PT,DD,R value,Fib and PDW was 0.842 8,with the sensitivity and specificity of 36.78%and 95.59%,respectively.The decision curve analysis(DCA)indicated that patients would benefit when the model's predicted probability ranged from 0.1 to 0.7.Conclusion The combination of TEG,coagulation index and platelet parameters is ef-fective in predicting the risk of VTE in patients with CVI.